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This study describes the development of a vision sensor for detecting shock waves which is one of the main factors of accidents in highway traffic flow. The major contributions of this research are development of vehicle tracking and detection of shock wave in saturated traffic. Moreover, realisation of a vehicle infrastructure integration (VII) system for providing arrival information of such propagation...
This paper describes the evaluation of driver assistance system by a driving simulator that authors have developed that provides information on congestion to the driver in the expressway. In the evaluation, driver behavior measurement and subjective assessment by the questionnaire are done, when the system correctly offers drivers warning of congestion (true warning), and when the warning cannot be...
This paper describes a development of vision sensor that can detect shockwave propagation that is one of main factors of accidents in highway traffic flow. In addition, realization of a driver assistance system that informs arrival of such shockwave to drivers by the vision sensors is shown. To evaluate the reliability of the system, both recall rate and false rate of the system is investigated by...
In this paper, a method of vision-based automatic incident detection for traffic surveillance systems at crossroad is presented. We have developed a dedicated vehicle tracking algorithm based on the ST-MRF model (S. Kamijo and M. Sakauchi, 2002), and have done a successful work of incident detection for an high-way monitoring system (M. Harada et al., 2004) using the tracking algorithm. Here, we apply...
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